Senior AWS Data Architect - Lead Modern Data Platforms

New York Technology Partners

Clinton (NJ)

In loco

USD 140.000 - 190.000

Tempo pieno

2 giorni fa
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Descrizione del lavoro

New York Technology Partners seeks an AWS Data Architect to lead the design, implementation, and governance of enterprise-scale data platforms on AWS. You will own architectures, guide teams, and actively contribute to development as a player-coach.

The ideal candidate defines architecture, builds scalable solutions, and enforces best practices across data engineering, analytics, and governance, mentoring engineers and driving cloud modernization.

Competenze

  • 12+ years overall experience with 5–7+ years in AWS data architecture.
  • Hands-on leadership with end-to-end data platform ownership on AWS.
  • Strong ability to translate business needs into scalable data architectures.

Mansioni

  • Define and own end-to-end data architecture on AWS (ingestion, storage, transformation, consumption).
  • Design scalable, secure data platforms (lakehouse, modern data stack).
  • Set standards for data modeling, partitioning, metadata, lifecycle management.
  • Architect batch and real-time data processing solutions.
  • Build pipelines using AWS Glue, EMR, Lambda, Step Functions.
  • Develop ETL/ELT pipelines with PySpark, SQL, Python.
  • Implement reusable data transformation frameworks.

Conoscenze

AWS architecture
Data governance
Leadership
Communication
Ownership
Cloud strategy
Analytics collaboration

Strumenti

AWS Glue
Amazon Redshift
Lambda
Step Functions
IAM
Lake Formation
PySpark
Spark (EMR/Glue)
SQL
Kinesis
Kafka
dbt
Airflow
Snowflake
QuickSight
Tableau
Power BI
APIs
Microservices
ML/AI agent design
ETL/ELT

Descrizione del lavoro

New York Technology Partners seeks an AWS Data Architect to lead the design, implementation, and governance of enterprise-scale data platforms on AWS. You will own architectures, guide teams, and actively contribute to development as a player-coach.

The ideal candidate defines architecture, builds scalable solutions, and enforces best practices across data engineering, analytics, and governance, mentoring engineers and driving cloud modernization.

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